Service-Centric Approach to AIOps

January 10, 2019

Operations teams are undergoing a paradigm shift and embracing big data, modern machine learning, and other advanced analytics technologies to boost operations efficiency with proactive, personal, and dynamic insight. Gartner has coined the term AIOps (artificial intelligence for IT operations) to capture the spirit of these changes. Current methodologies, techniques, and best practices are shackled by traditional siloed Operations Support System (OSS) stacks, rigid rule-based systems, and monolithic architectures. AIOps helps to quickly extract actionable insights from the operational data to help automate tasks and processes that have traditionally required human intervention.

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BigML, Inc

BigML offers a highly scalable, cloud based machine learning service that is easy to use, seamless to integrate and instantly actionable. Now everyone can implement data-driven decision making in their applications. BigML works with small and big data.

OTHER WHITEPAPERS
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Implementing an Operational Data Layer for Product Catalog Modernization

whitePaper | September 27, 2022

The product catalog is at the heart of any retail company- simply put it is the window into the list of all products that are for sale and their information. These days that information can be extensive- from name, dimensions, price (and per-store price) to images, videos, and third party reviews.

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Better together: AVEVA™ Predictive Analytics and the AVEVA™ PI System™ maximize mining plant ROI

whitePaper | December 23, 2022

From volatile markets and tough competition to the increasingly stringent demands of government regulators and customers alike, there’s no shortage of challenges ahead for the mining industry. To navigate these obstacles and others all while improving profitability, mining companies are seeking innovative ways to optimize the reliability, efficiency, and safety of their operations. Many industry leaders are already finding the answers they are looking for in their operations data.

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Accountability and Traceability White Paper & Research Roadmap

whitePaper | April 18, 2023

The MIT Future of Data Initiative is leading a multi-disciplinary research agenda to design and stimulate the deployment of consumer-empowering and accountable systems to provide trusted, traceable uses of personal data on an ecosystem-wide scale. The Initiative has gathered together computer science and Internet policy researchers as well as leading commercial enterprises in financial services, payment technology, cloud platforms, insurance and other sectors to discuss current challenges and opportunities in privacy and data governance. Today’s modern privacy laws place appropriately high expectations on organizations processing personal data. At the same time, consumers report declining trust in those who handle their personal data and regulators around the world struggle with the scale of the enforcement challenge. We aim to identify and put into service technical infrastructure for enterprises seeking to handle personal data in a trustworthy and lawful manner with guardrails to enable the traceable, accountable, and scalable use of data.

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Serverless Analytics

whitePaper | October 3, 2022

C-Level executives, do you often feel that you spend a significant amount of time and resources managing costs? Or do you often wonder about the impending costs on IT assets and how to optimize them? Gartner, in a recent survey, has expected that IT services are going to raise this year, with the projected IT spending growth rate being 5.5.% for 2023. With soaring expenses, you need to find alternative tactics to reduce the burden of IT expenses.

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Big Data and AI for The Financial Sector: Challenges and Opportunities

whitePaper | September 1, 2022

Artificial Intelligence (AI) is not a recently discovered field. Since the beginning of the computer science discipline, in the late 1950s, AI has drawn a lot of attention in the international scientific community and since then it has represented a field of study which has triggered diverse and numerous research activities.

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5 Steps to Creating Business Value

whitePaper | October 21, 2022

Connecting high-quality data assets to the consumers who depend on them unleashes new possibilities for creating more business value.

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Spotlight

BigML, Inc

BigML offers a highly scalable, cloud based machine learning service that is easy to use, seamless to integrate and instantly actionable. Now everyone can implement data-driven decision making in their applications. BigML works with small and big data.

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